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57. Familial hemiplegic migraine and episodic ataxia type-2 are caused by mutations in the Ca2+ channel gene CACNL1A4

Author

Ophoff, Roel A., Terwindt, Gisela M., Vergouwe, Monique N., Van Eijk, Ronald, Oefner, Peter J., Hoffman, Susan M.G., Lamerdin, Jane E., Mohrenweiser, Harvey W., Bulman, Dennis E., Ferrari, Maurizio, Haan, Joost, Lindhout, Dick, Van Ommen, Gert-Jan B., Hofker, Marten H., Ferrari, Michel D., and Frants, Rune R.

Subjects
Migraine -- Genetic aspects, Ataxia -- Genetic aspects, Calcium channels -- Genetic aspects, Biological sciences
Abstract

Mapping a locus for familial hemiplegic migraine (FHM) and episodic ataxia type-2 (EA-2) to chromosome 19p13 identified a human cDNA highly related to a brain-specific voltage gated P/Q-type calcium channel alpha1 subunit. Designated CACNL1A4, the gene had a molecular mass of 300 kb and contained 47 exons. DNA sequence analysis identified repeat sequences of CA and CAG in the 3'-UTR region and different types of deleterious mutations in FHM and EA-2.

Published
1996

58. Integrated clinical and omics approach to rare diseases : Novel genes and oligogenic inheritance in holoprosencephaly

Author

Kim, Artem, Savary, Clara, Dubourg, Christèle, Carré, Wilfrid, Mouden, Charlotte, Hamdi-Rozé, Houda, Guyodo, Hélène, Douce, Jerome Le, Génin, Emmanuelle, Campion, Dominique, Dartigues, Jean François, Deleuze, Jean François, Lambert, Jean Charles, Redon, Richard, Ludwig, Thomas, Grenier-Boley, Benjamin, Letort, Sébastien, Lindenbaum, Pierre, Meyer, Vincent, Quenez, Olivier, Dina, Christian, Bellenguez, Céline, Charbonnier-Le Clézio, Camille, Giemza, Joanna, Chatel, Stéphanie, Férec, Claude, Le Marec, Hervé, Letenneur, Luc, Nicolas, Gaël, Rouault, Karen, Bacq, Delphine, Boland, Anne, Lechner, Doris, Wijmenga, Cisca, Swertz, Morris A., Eline Slagboom, P., Van Ommen, Gert Jan B., Van Duijn, Cornelia M., Boomsma, Dorret I., De Bakker, Paul I.W., Bovenberg, Jasper A., De Craen, Anton J.M., Beekman, Marian, Hofman, Albert, Willemsen, Gonneke, Wolffenbuttel, Bruce, Platteel, Mathieu, Du, Yuanping, Chen, Ruoyan, Cao, Hongzhi, Cao, Rui, Sun, Yushen, Sujie Cao, Jeremy, Van Dijk, Freerk, Neerincx, Pieter B.T., Deelen, Patrick, Dijkstra, Martijn, Byelas, George, Kanterakis, Alexandros, Bot, Jan, Ye, Kai, Lameijer, Eric Wubbo, Vermaat, Martijn, Laros, Jeroen F.J., Den Dunnen, Johan T., De Knijff, Peter, Karssen, Lennart C., Van Leeuwen, Elisa M., Amin, Najaf, Koval, Vyacheslav, Rivadeneira, Fernando, Estrada, Karol, Hehir-Kwa, Jayne Y., De Ligt, Joep, Abdellaoui, Abdel, Hottenga, Jouke Jan, Mathijs Kattenberg, V., Van Enckevort, David, Mei, Hailiang, Santcroos, Mark, Van Schaik, Barbera D.C., Handsaker, Robert E., McCarroll, Steven A., Eichler, Evan E., Ko, Arthur, Sudmant, Peter, Francioli, Laurent C., Kloosterman, Wigard P., Nijman, Isaac J., Guryev, Victor, Pasquier, Laurent, Flori, Elisabeth, Gonzales, Marie, Bénéteau, Claire, Boute, Odile, Attié-Bitach, Tania, Roume, Joelle, Goujon, Louise, Akloul, Linda, Odent, Sylvie, Watrin, Erwan, Dupé, Valérie, De Tayrac, Marie, David, Véronique, Kim, Artem, Savary, Clara, Dubourg, Christèle, Carré, Wilfrid, Mouden, Charlotte, Hamdi-Rozé, Houda, Guyodo, Hélène, Douce, Jerome Le, Génin, Emmanuelle, Campion, Dominique, Dartigues, Jean François, Deleuze, Jean François, Lambert, Jean Charles, Redon, Richard, Ludwig, Thomas, Grenier-Boley, Benjamin, Letort, Sébastien, Lindenbaum, Pierre, Meyer, Vincent, Quenez, Olivier, Dina, Christian, Bellenguez, Céline, Charbonnier-Le Clézio, Camille, Giemza, Joanna, Chatel, Stéphanie, Férec, Claude, Le Marec, Hervé, Letenneur, Luc, Nicolas, Gaël, Rouault, Karen, Bacq, Delphine, Boland, Anne, Lechner, Doris, Wijmenga, Cisca, Swertz, Morris A., Eline Slagboom, P., Van Ommen, Gert Jan B., Van Duijn, Cornelia M., Boomsma, Dorret I., De Bakker, Paul I.W., Bovenberg, Jasper A., De Craen, Anton J.M., Beekman, Marian, Hofman, Albert, Willemsen, Gonneke, Wolffenbuttel, Bruce, Platteel, Mathieu, Du, Yuanping, Chen, Ruoyan, Cao, Hongzhi, Cao, Rui, Sun, Yushen, Sujie Cao, Jeremy, Van Dijk, Freerk, Neerincx, Pieter B.T., Deelen, Patrick, Dijkstra, Martijn, Byelas, George, Kanterakis, Alexandros, Bot, Jan, Ye, Kai, Lameijer, Eric Wubbo, Vermaat, Martijn, Laros, Jeroen F.J., Den Dunnen, Johan T., De Knijff, Peter, Karssen, Lennart C., Van Leeuwen, Elisa M., Amin, Najaf, Koval, Vyacheslav, Rivadeneira, Fernando, Estrada, Karol, Hehir-Kwa, Jayne Y., De Ligt, Joep, Abdellaoui, Abdel, Hottenga, Jouke Jan, Mathijs Kattenberg, V., Van Enckevort, David, Mei, Hailiang, Santcroos, Mark, Van Schaik, Barbera D.C., Handsaker, Robert E., McCarroll, Steven A., Eichler, Evan E., Ko, Arthur, Sudmant, Peter, Francioli, Laurent C., Kloosterman, Wigard P., Nijman, Isaac J., Guryev, Victor, Pasquier, Laurent, Flori, Elisabeth, Gonzales, Marie, Bénéteau, Claire, Boute, Odile, Attié-Bitach, Tania, Roume, Joelle, Goujon, Louise, Akloul, Linda, Odent, Sylvie, Watrin, Erwan, Dupé, Valérie, De Tayrac, Marie, and David, Véronique

Published
2019

59. Integrated clinical and omics approach to rare diseases: Novel genes and oligogenic inheritance in holoprosencephaly

Author

CMM Groep Kaaij, Genetica Klinische Genetica, Cancer, CMM Groep De Ridder, Child Health, CMM Groep Kloosterman, CMM USEQ Facility, Hubrecht Institute with UMC, Kim, Artem, Savary, Clara, Dubourg, Christèle, Carré, Wilfrid, Mouden, Charlotte, Hamdi-Rozé, Houda, Guyodo, Hélène, Douce, Jerome Le, Génin, Emmanuelle, Campion, Dominique, Dartigues, Jean François, Deleuze, Jean François, Lambert, Jean Charles, Redon, Richard, Ludwig, Thomas, Grenier-Boley, Benjamin, Letort, Sébastien, Lindenbaum, Pierre, Meyer, Vincent, Quenez, Olivier, Dina, Christian, Bellenguez, Céline, Charbonnier-Le Clézio, Camille, Giemza, Joanna, Chatel, Stéphanie, Férec, Claude, Le Marec, Hervé, Letenneur, Luc, Nicolas, Gaël, Rouault, Karen, Bacq, Delphine, Boland, Anne, Lechner, Doris, Wijmenga, Cisca, Swertz, Morris A., Eline Slagboom, P., Van Ommen, Gert Jan B., Van Duijn, Cornelia M., Boomsma, Dorret I., De Bakker, Paul I.W., Bovenberg, Jasper A., De Craen, Anton J.M., Beekman, Marian, Hofman, Albert, Willemsen, Gonneke, Wolffenbuttel, Bruce, Platteel, Mathieu, Du, Yuanping, Chen, Ruoyan, Cao, Hongzhi, Cao, Rui, Sun, Yushen, Sujie Cao, Jeremy, Van Dijk, Freerk, Neerincx, Pieter B.T., Deelen, Patrick, Dijkstra, Martijn, Byelas, George, Kanterakis, Alexandros, Bot, Jan, Ye, Kai, Lameijer, Eric Wubbo, Vermaat, Martijn, Laros, Jeroen F.J., Den Dunnen, Johan T., De Knijff, Peter, Karssen, Lennart C., Van Leeuwen, Elisa M., Amin, Najaf, Koval, Vyacheslav, Rivadeneira, Fernando, Estrada, Karol, Hehir-Kwa, Jayne Y., De Ligt, Joep, Abdellaoui, Abdel, Hottenga, Jouke Jan, Mathijs Kattenberg, V., Van Enckevort, David, Mei, Hailiang, Santcroos, Mark, Van Schaik, Barbera D.C., Handsaker, Robert E., McCarroll, Steven A., Eichler, Evan E., Ko, Arthur, Sudmant, Peter, Francioli, Laurent C., Kloosterman, Wigard P., Nijman, Isaac J., Guryev, Victor, Pasquier, Laurent, Flori, Elisabeth, Gonzales, Marie, Bénéteau, Claire, Boute, Odile, Attié-Bitach, Tania, Roume, Joelle, Goujon, Louise, Akloul, Linda, Odent, Sylvie, Watrin, Erwan, Dupé, Valérie, De Tayrac, Marie, David, Véronique, CMM Groep Kaaij, Genetica Klinische Genetica, Cancer, CMM Groep De Ridder, Child Health, CMM Groep Kloosterman, CMM USEQ Facility, Hubrecht Institute with UMC, Kim, Artem, Savary, Clara, Dubourg, Christèle, Carré, Wilfrid, Mouden, Charlotte, Hamdi-Rozé, Houda, Guyodo, Hélène, Douce, Jerome Le, Génin, Emmanuelle, Campion, Dominique, Dartigues, Jean François, Deleuze, Jean François, Lambert, Jean Charles, Redon, Richard, Ludwig, Thomas, Grenier-Boley, Benjamin, Letort, Sébastien, Lindenbaum, Pierre, Meyer, Vincent, Quenez, Olivier, Dina, Christian, Bellenguez, Céline, Charbonnier-Le Clézio, Camille, Giemza, Joanna, Chatel, Stéphanie, Férec, Claude, Le Marec, Hervé, Letenneur, Luc, Nicolas, Gaël, Rouault, Karen, Bacq, Delphine, Boland, Anne, Lechner, Doris, Wijmenga, Cisca, Swertz, Morris A., Eline Slagboom, P., Van Ommen, Gert Jan B., Van Duijn, Cornelia M., Boomsma, Dorret I., De Bakker, Paul I.W., Bovenberg, Jasper A., De Craen, Anton J.M., Beekman, Marian, Hofman, Albert, Willemsen, Gonneke, Wolffenbuttel, Bruce, Platteel, Mathieu, Du, Yuanping, Chen, Ruoyan, Cao, Hongzhi, Cao, Rui, Sun, Yushen, Sujie Cao, Jeremy, Van Dijk, Freerk, Neerincx, Pieter B.T., Deelen, Patrick, Dijkstra, Martijn, Byelas, George, Kanterakis, Alexandros, Bot, Jan, Ye, Kai, Lameijer, Eric Wubbo, Vermaat, Martijn, Laros, Jeroen F.J., Den Dunnen, Johan T., De Knijff, Peter, Karssen, Lennart C., Van Leeuwen, Elisa M., Amin, Najaf, Koval, Vyacheslav, Rivadeneira, Fernando, Estrada, Karol, Hehir-Kwa, Jayne Y., De Ligt, Joep, Abdellaoui, Abdel, Hottenga, Jouke Jan, Mathijs Kattenberg, V., Van Enckevort, David, Mei, Hailiang, Santcroos, Mark, Van Schaik, Barbera D.C., Handsaker, Robert E., McCarroll, Steven A., Eichler, Evan E., Ko, Arthur, Sudmant, Peter, Francioli, Laurent C., Kloosterman, Wigard P., Nijman, Isaac J., Guryev, Victor, Pasquier, Laurent, Flori, Elisabeth, Gonzales, Marie, Bénéteau, Claire, Boute, Odile, Attié-Bitach, Tania, Roume, Joelle, Goujon, Louise, Akloul, Linda, Odent, Sylvie, Watrin, Erwan, Dupé, Valérie, De Tayrac, Marie, and David, Véronique

Published
2019

60. WGS-based telomere length analysis in Dutch family trios implicates stronger maternal inheritance and a role for RRM1 gene

Author

Nersisyan, Lilit, Nikoghosyan, Maria, Francioli, Laurent C., Menelaou, Androniki, Pulit, Sara L., Elbers, Clara C., Kloosterman, Wigard P., van Setten, Jessica, Nijman, Isaac J., Renkens, Ivo, de Bakker, Paul I. W., van Dijk, Freerk, Neerincx, Pieter B. T., Deelen, Patrick, Kanterakis, Alexandros, Dijkstra, Martijn, Byelas, Heorhiy, van der Velde, K. Joeri, Platteel, Mathieu, Swertz, Morris A., Wijmenga, Cisca, Palamara, Pier Francesco, Pe'er, Itsik, Ye, Kai, Lameijer, Eric-Wubbo, Moed, Matthijs H., Beekman, Marian, de Craen, Anton J. M., Suchiman, H. Eka D., Slagboom, P. Eline, Guryev, Victor, Abdellaoui, Abdel, Hottenga, Jouke Jan, Kattenberg, Mathijs, Willemsen, Gonneke, Boomsma, Dorret I., van Leeuwen, Elisabeth M., Karssen, Lennart C., Amin, Najaf, Rivadeneira, Fernando, Isaacs, Aaron, Hofman, Albert, Uitterlinden, Andre G., van Duijn, Cornelia M., van Oven, Mannis, Kayser, Manfred, Vermaat, Martijn, Laros, Jeroen F. J., den Dunnen, Johan T., van Enckevort, David, Mei, Hailiang, Li, Mingkun, Stoneking, Mark, van Schaik, Barbera D. C., Bot, Jan, Marschall, Tobias, Schonhuth, Alexander, Hehir-Kwa, Jayne Y., Handsaker, Robert E., Polak, Paz, Sohail, Mashaal, Vuzman, Dana, Estrada, Karol, McCarroll, Steven A., Sunyaev, Shamil R., Hormozdiari, Fereydoun, Koval, Vyacheslav, Medina-Gomez, Carolina, Oostra, Ben, Veldink, Jan H., van den Berg, Leonard H., Pitts, Steven J., Potluri, Shobha, Sundar, Purnima, Cox, David R., de Knijff, Peter, Li, Qibin, Li, Yingrui, Du, Yuanping, Chen, Ruoyan, Cao, Hongzhi, Wang, Jun, Li, Ning, Cao, Sujie, Bovenberg, Jasper A., van Ommen, Gert-Jan B., Arakelyan, Arsen, Nersisyan, Lilit, Nikoghosyan, Maria, Francioli, Laurent C., Menelaou, Androniki, Pulit, Sara L., Elbers, Clara C., Kloosterman, Wigard P., van Setten, Jessica, Nijman, Isaac J., Renkens, Ivo, de Bakker, Paul I. W., van Dijk, Freerk, Neerincx, Pieter B. T., Deelen, Patrick, Kanterakis, Alexandros, Dijkstra, Martijn, Byelas, Heorhiy, van der Velde, K. Joeri, Platteel, Mathieu, Swertz, Morris A., Wijmenga, Cisca, Palamara, Pier Francesco, Pe'er, Itsik, Ye, Kai, Lameijer, Eric-Wubbo, Moed, Matthijs H., Beekman, Marian, de Craen, Anton J. M., Suchiman, H. Eka D., Slagboom, P. Eline, Guryev, Victor, Abdellaoui, Abdel, Hottenga, Jouke Jan, Kattenberg, Mathijs, Willemsen, Gonneke, Boomsma, Dorret I., van Leeuwen, Elisabeth M., Karssen, Lennart C., Amin, Najaf, Rivadeneira, Fernando, Isaacs, Aaron, Hofman, Albert, Uitterlinden, Andre G., van Duijn, Cornelia M., van Oven, Mannis, Kayser, Manfred, Vermaat, Martijn, Laros, Jeroen F. J., den Dunnen, Johan T., van Enckevort, David, Mei, Hailiang, Li, Mingkun, Stoneking, Mark, van Schaik, Barbera D. C., Bot, Jan, Marschall, Tobias, Schonhuth, Alexander, Hehir-Kwa, Jayne Y., Handsaker, Robert E., Polak, Paz, Sohail, Mashaal, Vuzman, Dana, Estrada, Karol, McCarroll, Steven A., Sunyaev, Shamil R., Hormozdiari, Fereydoun, Koval, Vyacheslav, Medina-Gomez, Carolina, Oostra, Ben, Veldink, Jan H., van den Berg, Leonard H., Pitts, Steven J., Potluri, Shobha, Sundar, Purnima, Cox, David R., de Knijff, Peter, Li, Qibin, Li, Yingrui, Du, Yuanping, Chen, Ruoyan, Cao, Hongzhi, Wang, Jun, Li, Ning, Cao, Sujie, Bovenberg, Jasper A., van Ommen, Gert-Jan B., and Arakelyan, Arsen

Published
2019

62. Rubinstein-Taybi syndrome caused by mutations in the transcriptional co-activator CBP

Author

Petrij, Fred, Giles, Rachel H., Dauwerse, Hans G., Saris, Jasper J., Hennenkam, Raoul C.M., Masuno, Mitsuo, Tommerup, Niels, van Ommen, Gert-Jan B., Goodman, Richard H., Peters, Dorien J.M., and Breuning, Martijn H.

Subjects
Chromosome abnormalities -- Research, Birth defects -- Genetic aspects, Rubinstein-Taybi syndrome, Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

Mutations in the human CREB binding protein (CBP) in all cells of an individual, causes the Rubinstein-Taybi syndrome (RTS) and RTS is probably the first example of a multiple congenital malformation and mental retardation produced by improper regulation of gene expression. RTS is characterized by facial abnormalities, broad thumbs and toes and mental retardation. Breakpoints in the chromosome 16p13.3, which are localized to a region containing the gene for CBP, are observed in patients with RTS.

Published
1995

70. Transmission of human mtDNA heteroplasmy in the Genome of the Netherlands families: support for a variable-size bottleneck

Author

Li, Mingkun, Rothwell, Rebecca, Vermaat, Martijn, Wachsmuth, Manja, Schröder, Roland, Laros, Jeroen F J, Van Oven, Mannis, De Bakker, Paul I W, Bovenberg, Jasper A., Van Duijn, Cornelia M., Van Ommen, Gert Jan B, Slagboom, P. Eline, Swertz, Morris A., Wijmenga, Cisca, Kayser, Manfred, Boomsma, Dorret I., Zöllner, Sebastian, De Knijff, Peter, Stoneking, Mark, De Craen, Anton J M, Beekman, Marian, Hofman, Albert, Willemsen, Gonneke, Wolffenbuttel, Bruce, Platteel, Mathieu, Du, Yuanping, Chen, Ruoyan, Cao, Hongzhi, Cao, Rui, Sun, Yushen, Cao, Jeremy Sujie, Van Dijk, Freerk, Neerincx, Pieter B T, Deelen, Patrick, Dijkstra, Martijn, Byelas, George, Kanterakis, Alexandros, Bot, Jan, Ye, Kai, Lameijer, Eric Wubbo, Den Dunnen, Johan T., Karssen, Lennart C., Van Leeuwen, Elisa M., Amin, Najaf, Koval, Vyacheslav, Rivadeneira, Fernando, Estrada, Karol, Hehir-Kwa, Jayne Y., De Ligt, Joep, Abdellaoui, Abdel, Hottenga, Jouke Jan, Kattenberg, V. Mathijs, Van Enckevort, David, Mei, Hailiang, Santcroos, Mark, Van Schaik, Barbera D C, Handsaker, Robert E., McCarroll, Steven A., Eichler, Evan E., Ko, Arthur, Sudmant, Peter, Francioli, Laurent C., Kloosterman, Wigard P., Nijman, Isaac J., Guryev, Victor, Genetic Identification, Epidemiology, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Biological Psychology, EMGO+ - Quality of Care, and Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep

Subjects
Male, Netherlands Twin Register (NTR), 0301 basic medicine, LEVEL, Inheritance Patterns, Twins, Twin Study, POINT MUTATIONS, Genome, Gene Frequency, Paternal mtDNA transmission, Genetics(clinical), Non-U.S. Gov't, Genetics (clinical), Netherlands, Genetics, Research Support, Non-U.S. Gov't, PURIFYING SELECTION, MITOCHONDRIAL-DNA MUTATIONS, RANDOM GENETIC DRIFT, HUMAN-DISEASE, Heteroplasmy, Female, Mitochondrial DNA, TISSUES, OOCYTES, Biology, Research Support, INHERITANCE, DNA, Mitochondrial, White People, Genetic Heterogeneity, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Journal Article, Humans, Family, Selection, Genetic, Allele, Allele frequency, Alleles, Models, Statistical, Polymorphism, Genetic, Models, Genetic, Research, Twin study, Minor allele frequency, 030104 developmental biology, Mutation, MELAS SYNDROME
Abstract

Although previous studies have documented a bottleneck in the transmission of mtDNA genomes from mothers to offspring, several aspects remain unclear, including the size and nature of the bottleneck. Here, we analyze the dynamics of mtDNA heteroplasmy transmission in the Genomes of the Netherlands (GoNL) data, which consists of complete mtDNA genome sequences from 228 trios, eight dizygotic (DZ) twin quartets, and 10 monozygotic (MZ) twin quartets. Using a minor allele frequency (MAF) threshold of 2%, we identified 189 heteroplasmies in the trio mothers, of which 59% were transmitted to offspring, and 159 heteroplasmies in the trio offspring, of which 70% were inherited from the mothers. MZ twin pairs exhibited greater similarity in MAF at heteroplasmic sites than DZ twin pairs, suggesting that the heteroplasmy MAF in the oocyte is the major determinant of the heteroplasmy MAF in the offspring. We used a likelihood method to estimate the effective number of mtDNA genomes transmitted to offspring under different bottleneck models; a variable bottleneck size model provided the best fit to the data, with an estimated mean of nine individual mtDNA genomes transmitted. We also found evidence for negative selection during transmission against novel heteroplasmies (in which the minor allele has never been observed in polymorphism data). These novel heteroplasmies are enhanced for tRNA and rRNA genes, and mutations associated with mtDNA diseases frequently occur in these genes. Our results thus suggest that the female germ line is able to recognize and select against deleterious heteroplasmies.

Published
2016

74. Search for Early Pancreatic Cancer Blood Biomarkers in Five European Prospective Population Biobanks Using Metabolomics

Author

Fest, Jesse, primary, Vijfhuizen, Lisanne S, additional, Goeman, Jelle J, additional, Veth, Olga, additional, Joensuu, Anni, additional, Perola, Markus, additional, Männistö, Satu, additional, Ness-Jensen, Eivind, additional, Hveem, Kristian, additional, Haller, Toomas, additional, Tonisson, Neeme, additional, Mikkel, Kairit, additional, Metspalu, Andres, additional, van Duijn, Cornelia M, additional, Ikram, Arfan, additional, Stricker, Bruno H, additional, Ruiter, Rikje, additional, van Eijck, Casper H J, additional, van Ommen, Gert-Jan B, additional, and ʼt Hoen, Peter A C, additional

Published
2019
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76. Dual exon skipping in myostatin and dystrophin for Duchenne muscular dystrophy

Author

van Ommen Gert Jan B, den Dunnen Johan T, de Gorter David JJ, Terlouw Samuel, van Heiningen Sandra H, Hoogaars Willem MH, Kemaladewi Dwi U, Aartsma-Rus Annemieke, ten Dijke Peter, and 't Hoen Peter AC

Subjects
Internal medicine, RC31-1245, Genetics, QH426-470
Abstract

Abstract Background Myostatin is a potent muscle growth inhibitor that belongs to the Transforming Growth Factor-β (TGF-β) family. Mutations leading to non functional myostatin have been associated with hypermuscularity in several organisms. By contrast, Duchenne muscular dystrophy (DMD) is characterized by a loss of muscle fibers and impaired regeneration. In this study, we aim to knockdown myostatin by means of exon skipping, a technique which has been successfully applied to reframe the genetic defect of dystrophin gene in DMD patients. Methods We targeted myostatin exon 2 using antisense oligonucleotides (AON) in healthy and DMD-derived myotubes cultures. We assessed the exon skipping level, transcriptional expression of myostatin and its target genes, and combined myostatin and several dystrophin AONs. These AONs were also applied in the mdx mice models via intramuscular injections. Results Myostatin AON induced exon 2 skipping in cell cultures and to a lower extent in the mdx mice. It was accompanied by decrease in myostatin mRNA and enhanced MYOG and MYF5 expression. Furthermore, combination of myostatin and dystrophin AONs induced simultaneous skipping of both genes. Conclusions We conclude that two AONs can be used to target two different genes, MSTN and DMD, in a straightforward manner. Targeting multiple ligands of TGF-beta family will be more promising as adjuvant therapies for DMD.

Published
2011
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77. Deregulation of the ubiquitin-proteasome system is the predominant molecular pathology in OPMD animal models and patients

Author

Anvar Seyed, 't Hoen Peter AC, Venema Andrea, van der Sluijs Barbara, van Engelen Baziel, Snoeck Marc, Vissing John, Trollet Capucine, Dickson George, Chartier Aymeric, Simonelig Martine, van Ommen Gert-Jan B, van der Maarel Silvere M, and Raz Vered

Subjects
Diseases of the musculoskeletal system, RC925-935
Abstract

Abstract Oculopharyngeal muscular dystrophy (OPMD) is a late-onset progressive muscle disorder caused by a poly-alanine expansion mutation in the Poly(A) Binding Protein Nuclear 1 (PABPN1). The molecular mechanisms that regulate disease onset and progression are largely unknown. In order to identify molecular pathways that are consistently associated with OPMD, we performed an integrated high-throughput transcriptome study in affected muscles of OPMD animal models and patients. The ubiquitin-proteasome system (UPS) was found to be the most consistently and significantly OPMD-deregulated pathway across species. We could correlate the association of the UPS OPMD-deregulated genes with stages of disease progression. The expression trend of a subset of these genes is age-associated and therefore, marks the late onset of the disease, and a second group with expression trends relating to disease-progression. We demonstrate a correlation between expression trends and entrapment into PABPN1 insoluble aggregates of OPMD-deregulated E3 ligases. We also show that manipulations of proteasome and immunoproteasome activity specifically affect the accumulation and aggregation of mutant PABPN1. We suggest that the natural decrease in proteasome expression and its activity during muscle aging contributes to the onset of the disease.

Published
2011
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81. Integrated analysis of DNA copy number and gene expression microarray data using gene sets

Author

Sieswerda Melle, Boetzer Marten, Menezes Renée X, van Ommen Gert-Jan B, and Boer Judith M

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5
Abstract

Abstract Background Genes that play an important role in tumorigenesis are expected to show association between DNA copy number and RNA expression. Optimal power to find such associations can only be achieved if analysing copy number and gene expression jointly. Furthermore, some copy number changes extend over larger chromosomal regions affecting the expression levels of multiple resident genes. Results We propose to analyse copy number and expression array data using gene sets, rather than individual genes. The proposed model is robust and sensitive. We re-analysed two publicly available datasets as illustration. These two independent breast cancer datasets yielded similar patterns of association between gene dosage and gene expression levels, in spite of different platforms having been used. Our comparisons show a clear advantage to using sets of genes' expressions to detect associations with long-spanning, low-amplitude copy number aberrations. In addition, our model allows for using additional explanatory variables and does not require mapping between copy number and expression probes. Conclusion We developed a general and flexible tool for integration of multiple microarray data sets, and showed how the identification of genes whose expression is affected by copy number aberrations provides a powerful approach to prioritize putative targets for functional validation.

Published
2009
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82. Cost-effective HRMA pre-sequence typing of clone libraries; application to phage display selection

Author

van Ommen Gert-Jan B, Vossen Rolf HAM, Schut Menno H, Pepers Barry A, den Dunnen Johan T, and van Roon-Mom Willeke MC

Subjects
Biotechnology, TP248.13-248.65
Abstract

Abstract Background Methodologies like phage display selection, in vitro mutagenesis and the determination of allelic expression differences include steps where large numbers of clones need to be compared and characterised. In the current study we show that high-resolution melt curve analysis (HRMA) is a simple, cost-saving tool to quickly study clonal variation without prior nucleotide sequence knowledge. Results HRMA results nicely matched those obtained with ELISA and compared favourably to DNA fingerprinting of restriction digested clone insert-PCR. DNA sequence analysis confirmed that HRMA-clustered clones contained identical inserts. Conclusion Using HRMA, analysis of up to 384 samples can be done simultaneously and will take approximately 30 minutes. Clustering of clones can be largely automated using the system's software within 2 hours. Applied to the analysis of clones obtained after phage display antibody selection, HRMA facilitated a quick overview of the overall success as well as the identification of identical clones. Our approach can be used to characterize any clone set prior to sequencing, thereby reducing sequencing costs significantly.

Published
2009
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84. Detection of Truncated Dystrophin in Fetal DMD Myotubes

Author

Ginjaar, Ieke B., primary, Bakker, Egbert, additional, den Dunnen, Johan T., additional, Wessels, Andy, additional, van Paassen, Marleen M. B., additional, Kloosterman, Maarten D., additional, Zubrzycka-Gaarn, Elizabeth E., additional, Fischbeck, Kenneth H., additional, Moorman, Antoon F. M., additional, and van Ommen, Gert-Jan B., additional

Published
1990
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85. Assessment of the feasibility of exon 45–55 multiexon skipping for duchenne muscular dystrophy

Author

van Ommen Gert-Jan B, van Deutekom Judith CT, de Winter Christa L, van Vliet Laura, and Aartsma-Rus Annemieke

Subjects
Internal medicine, RC31-1245, Genetics, QH426-470
Abstract

Abstract Background The specific skipping of an exon, induced by antisense oligonucleotides (AON) during splicing, has shown to be a promising therapeutic approach for Duchenne muscular dystrophy (DMD) patients. As different mutations require skipping of different exons, this approach is mutation dependent. The skipping of an entire stretch of exons (e.g. exons 45 to 55) has recently been suggested as an approach applicable to larger groups of patients. However, this multiexon skipping approach is technically challenging. The levels of intended multiexon skips are typically low and highly variable, and may be dependent on the order of intron removal. We hypothesized that the splicing order might favor the induction of multiexon 45–55 skipping. Methods We here tested the feasibility of inducing multiexon 45–55 in control and patient muscle cell cultures using various AON cocktails. Results In all experiments, the exon 45–55 skip frequencies were minimal and comparable to those observed in untreated cells. Conclusion We conclude that current state of the art does not sufficiently support clinical development of multiexon skipping for DMD.

Published
2008
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86. CORE_TF: a user-friendly interface to identify evolutionary conserved transcription factor binding sites in sets of co-regulated genes

Author

den Dunnen Johan T, van Ommen Gert-Jan B, Villerius Michel P, van Galen Michiel, Hestand Matthew S, and 't Hoen Peter AC

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5
Abstract

Abstract Background The identification of transcription factor binding sites is difficult since they are only a small number of nucleotides in size, resulting in large numbers of false positives and false negatives in current approaches. Computational methods to reduce false positives are to look for over-representation of transcription factor binding sites in a set of similarly regulated promoters or to look for conservation in orthologous promoter alignments. Results We have developed a novel tool, "CORE_TF" (Conserved and Over-REpresented Transcription Factor binding sites) that identifies common transcription factor binding sites in promoters of co-regulated genes. To improve upon existing binding site predictions, the tool searches for position weight matrices from the TRANSFACR database that are over-represented in an experimental set compared to a random set of promoters and identifies cross-species conservation of the predicted transcription factor binding sites. The algorithm has been evaluated with expression and chromatin-immunoprecipitation on microarray data. We also implement and demonstrate the importance of matching the random set of promoters to the experimental promoters by GC content, which is a unique feature of our tool. Conclusion The program CORE_TF is accessible in a user friendly web interface at http://www.LGTC.nl/CORE_TF. It provides a table of over-represented transcription factor binding sites in the users input genes' promoters and a graphical view of evolutionary conserved transcription factor binding sites. In our test data sets it successfully predicts target transcription factors and their binding sites.

Published
2008
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88. Literature-aided meta-analysis of microarray data: a compendium study on muscle development and disease

Author

van Ommen Gert-Jan B, den Dunnen Johan T, Sterrenburg Ellen, 't Hoen Peter AC, Jelier Rob, Kors Jan A, and Mons Barend

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5
Abstract

Abstract Background Comparative analysis of expression microarray studies is difficult due to the large influence of technical factors on experimental outcome. Still, the identified differentially expressed genes may hint at the same biological processes. However, manually curated assignment of genes to biological processes, such as pursued by the Gene Ontology (GO) consortium, is incomplete and limited. We hypothesised that automatic association of genes with biological processes through thesaurus-controlled mining of Medline abstracts would be more effective. Therefore, we developed a novel algorithm (LAMA: Literature-Aided Meta-Analysis) to quantify the similarity between transcriptomics studies. We evaluated our algorithm on a large compendium of 102 microarray studies published in the field of muscle development and disease, and compared it to similarity measures based on gene overlap and over-representation of biological processes assigned by GO. Results While the overlap in both genes and overrepresented GO-terms was poor, LAMA retrieved many more biologically meaningful links between studies, with substantially lower influence of technical factors. LAMA correctly grouped muscular dystrophy, regeneration and myositis studies, and linked patient and corresponding mouse model studies. LAMA also retrieves the connecting biological concepts. Among other new discoveries, we associated cullin proteins, a class of ubiquitinylation proteins, with genes down-regulated during muscle regeneration, whereas ubiquitinylation was previously reported to be activated during the inverse process: muscle atrophy. Conclusion Our literature-based association analysis is capable of finding hidden common biological denominators in microarray studies, and circumvents the need for raw data analysis or curated gene annotation databases.

Published
2008
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89. Antisense-induced exon skipping for duplications in Duchenne muscular dystrophy

Author

van Ommen Gert-Jan B, Janson Anneke AM, Aartsma-Rus Annemieke, and van Deutekom Judith CT

Subjects
Internal medicine, RC31-1245, Genetics, QH426-470
Abstract

Abstract Background Antisense-mediated exon skipping is currently one of the most promising therapeutic approaches for Duchenne muscular dystrophy (DMD). Using antisense oligonucleotides (AONs) targeting specific exons the DMD reading frame is restored and partially functional dystrophins are produced. Following proof of concept in cultured muscle cells from patients with various deletions and point mutations, we now focus on single and multiple exon duplications. These mutations are in principle ideal targets for this approach since the specific skipping of duplicated exons would generate original, full-length transcripts. Methods Cultured muscle cells from DMD patients carrying duplications were transfected with AONs targeting the duplicated exons, and the dystrophin RNA and protein were analyzed. Results For two brothers with an exon 44 duplication, skipping was, even at suboptimal transfection conditions, so efficient that both exons 44 were skipped, thus generating, once more, an out-of-frame transcript. In such cases, one may resort to multi-exon skipping to restore the reading frame, as is shown here by inducing skipping of exon 43 and both exons 44. By contrast, in cells from a patient with an exon 45 duplication we were able to induce single exon 45 skipping, which allowed restoration of wild type dystrophin. The correction of a larger duplication (involving exons 52 to 62), by combinations of AONs targeting the outer exons, appeared problematic due to inefficient skipping and mistargeting of original instead of duplicated exons. Conclusion The correction of DMD duplications by exon skipping depends on the specific exons targeted. Its options vary from the ideal one, restoring for the first time the true, wild type dystrophin, to requiring more 'classical' skipping strategies, while the correction of multi-exon deletions may need the design of tailored approaches.

Published
2007
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90. Gene expression variation between mouse inbred strains

Author

Boer Judith M, de Meijer Emile J, de Menezes Renée X, Sterrenburg Ellen, 't Hoen Peter AC, Turk Rolf, van Ommen Gert-Jan B, and den Dunnen Johan T

Subjects
Biotechnology, TP248.13-248.65, Genetics, QH426-470
Abstract

Abstract Background In this study, we investigated the effect of genetic background on expression profiles. We analysed the transcriptome of mouse hindlimb muscle of five frequently used mouse inbred strains using spotted oligonucleotide microarrays. Results Through ANOVA analysis with a false discovery rate of 10%, we show that 1.4% of the analysed genes is significantly differentially expressed between these mouse strains. Differential expression of several of these genes has been confirmed by quantitative RT-PCR. The number of genes affected by genetic background is approximately ten-fold lower than the number of differentially expressed genes caused by a dystrophic genetic defect. Conclusions We conclude that evaluation of the effect of background on gene expression profiles in the tissue under study is an effective and sensible approach when comparing expression patterns in animal models with heterogeneous genetic backgrounds. Genes affected by the genetic background can be excluded in subsequent analyses of the disease-related changes in expression profiles. This is often a more effective strategy than backcrossing and inbreeding to obtain isogenic backgrounds.

Published
2004
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92. Uncompromised 10-year survival of oldest old carrying somatic mutations in DNMT3A and TET2

Author

van den Akker, Erik B., Pitts, Steven J., Deelen, Joris, Moed, Matthijs H., Potluri, Shobha, van Rooij, Jeroen, Suchiman, H. Eka D., Lakenberg, Nico, de Dijcker, Wesley J., Uitterlinden, André G., Kraaij, Robert, Hofman, Albert, de Craen, Anton J.M., Houwing-Duistermaat, Jeanine J., van Ommen, Gert-Jan B., Cox, David R., van Meurs, Joyce B.J., Beekman, Marian, Reinders, Marcel J.T., and Slagboom, P. Eline

Published
2016
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93. Reproducibility of high-throughput mRNA and small RNA sequencing across laboratories

Author

't Hoen, Peter A C, Friedländer, Marc R, Almlöf, Jonas, Sammeth, Michael, Pulyakhina, Irina, Anvar, Seyed Yahya, Laros, Jeroen F J, Buermans, Henk P J, Karlberg, Olof, Brännvall, Mathias, van Ommen, Gert-Jan B, Estivill, Xavier, Guigó, Roderic, Syvänen, Ann-Christine, Gut, Ivo G, Dermitzakis, Emmanouil T, Antonarakis, Stylianos E, Brazma, Alvis, Flicek, Paul, Schreiber, Stefan, Rosenstiel, Philip, Meitinger, Thomas, Strom, Tim M, Lehrach, Hans, Sudbrak, Ralf, Carracedo, Angel, van Iterson, Maarten, Monlong, Jean, Lizano, Esther, Bertier, Gabrielle, Ferreira, Pedro G, Ribeca, Paolo, Griebel, Thasso, Beltran, Sergi, Gut, Marta, Kahlem, Katja, Lappalainen, Tuuli, Giger, Thomas, Ongen, Halit, Padioleau, Ismael, Kilpinen, Helena, Gonzàlez-Porta, Mar, Kurbatova, Natalja, Tikhonov, Andrew, Greger, Liliana, Barann, Matthias, Esser, Daniela, Häsler, Robert, Wieland, Thomas, Schwarzmayr, Thomas, Sultan, Marc, Amstislavskiy, Vyacheslav, den Dunnen, Johan T, and Antonarakis, Stylianos

Subjects
Male, Small RNA, Sequence analysis, Biomedical Engineering, Bioengineering, Biology, Applied Microbiology and Biotechnology, Transcriptome, 03 medical and health sciences, 0302 clinical medicine, Gene expression, Humans, ddc:576.5, RNA, Messenger, 030304 developmental biology, Genetics, 0303 health sciences, Sequence Analysis, RNA, Gene Expression Profiling, RNA, High-Throughput Nucleotide Sequencing, Reproducibility of Results, Ribosomal RNA, Gene expression profiling, MicroRNAs, 030220 oncology & carcinogenesis, Molecular Medicine, Female, GC-content, Biotechnology
Abstract

RNA sequencing is an increasingly popular technology for genome-wide analysis of transcript sequence and abundance. However, understanding of the sources of technical and interlaboratory variation is still limited. To address this, the GEUVADIS consortium sequenced mRNAs and small RNAs of lymphoblastoid cell lines of 465 individuals in seven sequencing centers, with a large number of replicates. The variation between laboratories appeared to be considerably smaller than the already limited biological variation. Laboratory effects were mainly seen in differences in insert size and GC content and could be adequately corrected for. In small-RNA sequencing, the microRNA (miRNA) content differed widely between samples owing to competitive sequencing of rRNA fragments. This did not affect relative quantification of miRNAs. We conclude that distributing RNA sequencing among different laboratories is feasible, given proper standardization and randomization procedures. We provide a set of quality measures and guidelines for assessing technical biases in RNA-seq data.

Published
2013
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95. Effect of post-mortem delay on N-terminal huntingtin protein fragments in human control and Huntington disease brain lysates

Author

Schut, Menno H., primary, Patassini, Stefano, additional, Kim, Eric H., additional, Bullock, Jocelyn, additional, Waldvogel, Henry J., additional, Faull, Richard L. M., additional, Pepers, Barry A., additional, den Dunnen, Johan T., additional, van Ommen, Gert-Jan B., additional, and van Roon-Mom, Willeke M. C., additional

Published
2017
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96. Huntington’s disease blood and brain show a common gene expression pattern and share an immune signature with Alzheimer’s disease

Author

Hensman Moss, Davina J., primary, Flower, Michael D., additional, Lo, Kitty K., additional, Miller, James R. C., additional, van Ommen, Gert-Jan B., additional, ’t Hoen, Peter A. C., additional, Stone, Timothy C., additional, Guinee, Amelia, additional, Langbehn, Douglas R., additional, Jones, Lesley, additional, Plagnol, Vincent, additional, van Roon-Mom, Willeke M. C., additional, Holmans, Peter, additional, and Tabrizi, Sarah J., additional

Published
2017
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97. Characteristics of de novo structural changes in the human genome

Author

Kloosterman, Wigard P., Francioli, Laurent C., Hormozdiari, Fereydoun, Marschall, Tobias, Hehir-Kwa, Jayne Y., Abdellaoui, Abdel, Lameijer, Eric Wubbo, Moed, Matthijs H., Koval, Vyacheslav, Renkens, Ivo, Van Roosmalen, Markus J., Arp, Pascal, Karssen, Lennart C., Coe, Bradley P., Handsaker, Robert E., Suchiman, Eka D., Cuppen, Edwin, Thung, Djie Tjwan, McVey, Mitch, Wendl, Michael C., Uitterlinden, André, Van Duijn, Cornelia M., Swertz, Morris A., Wijmenga, Cisca, Van Ommen, Gert Jan B, Slagboom, P. Eline, Boomsma, Dorret I., Schönhuth, Alexander, Eichler, Evan E., De Bakker, Paul I W, Ye, Kai, Guryev, Victor, Bovenberg, Jasper A., De Craen, Anton J M, Beekman, Marian, Hofman, Albert, Willemsen, Gonneke, Wolffenbuttel, Bruce, Platteel, Mathieu, Du, Yuanping, Chen, Ruoyan, Cao, Hongzhi, Cao, Rui, Sun, Yushen, Cao, Jeremy Sujie, Van Dijk, Freerk, Neerincx, Pieter B T, Deelen, Patrick, Dijkstra, Martijn, Byelas, George, Kanterakis, Alexandros, Bot, Jan, Vermaat, Martijn, Laros, Jeroen F J, Den Dunnen, Johan T., De Knijff, Peter, Van Leeuwen, Elisa M., Amin, Najaf, Rivadeneira, Fernando, Estrada, Karol, De Ligt, Joep, Hottenga, Jouke Jan, Kattenberg, V. Mathijs, Van Enckevort, David, Mei, Hailiang, Santcroos, Mark, Van Schaik, Barbera D C, McCarroll, Steven A., Ko, Arthur, Sudmant, Peter, Nijman, Isaac J., Adult Psychiatry, Epidemiology and Data Science, ACS - Amsterdam Cardiovascular Sciences, AII - Amsterdam institute for Infection and Immunity, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, ANS - Amsterdam Neuroscience, CCA -Cancer Center Amsterdam, Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, Internal Medicine, Epidemiology, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), and Groningen Research Institute for Asthma and COPD (GRIAC)

Subjects
Male, Netherlands Twin Register (NTR), Mutation rate, INTELLECTUAL DISABILITY, Retrotransposon, Genome of Netherlands Consortium, VARIANTS, Medical and Health Sciences, Genome, 0302 clinical medicine, INDEL Mutation, Mutation Rate, Genetics(clinical), Copy-number variation, Genetics (clinical), Genetics, 0303 health sciences, education.field_of_study, food and beverages, Genomics, Single Nucleotide, Biological Sciences, Female, Sequence Analysis, Human, Retroelements, SEQUENCING DATA, Bioinformatics, Molecular Sequence Data, Population, MUTATION-RATES, POPULATION-SCALE, Biology, Polymorphism, Single Nucleotide, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Humans, Amino Acid Sequence, Polymorphism, Indel, education, Alleles, 030304 developmental biology, COPY NUMBER VARIATION, INDIVIDUAL HUMAN, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], IDENTIFICATION, Genome, Human, Research, Human Genome, Genetic Variation, Sequence Analysis, DNA, DNA, GENE, Haplotypes, DISCOVERY, Human genome, Sequence Alignment, 030217 neurology & neurosurgery
Abstract

Contains fulltext : 154750.pdf (Publisher’s version ) (Open Access) Small insertions and deletions (indels) and large structural variations (SVs) are major contributors to human genetic diversity and disease. However, mutation rates and characteristics of de novo indels and SVs in the general population have remained largely unexplored. We report 332 validated de novo structural changes identified in whole genomes of 250 families, including complex indels, retrotransposon insertions, and interchromosomal events. These data indicate a mutation rate of 2.94 indels (1-20 bp) and 0.16 SVs (>20 bp) per generation. De novo structural changes affect on average 4.1 kbp of genomic sequence and 29 coding bases per generation, which is 91 and 52 times more nucleotides than de novo substitutions, respectively. This contrasts with the equal genomic footprint of inherited SVs and substitutions. An excess of structural changes originated on paternal haplotypes. Additionally, we observed a nonuniform distribution of de novo SVs across offspring. These results reveal the importance of different mutational mechanisms to changes in human genome structure across generations. 01 juni 2015

Published
2015

98. A high-quality human reference panel reveals the complexity and distribution of genomic structural variants

Author

Hehir-Kwa, Jayne Y., Marschall, Tobias, Kloosterman, Wigard P., Francioli, Laurent C., Baaijens, Jasmijn A., Dijkstra, Louis J., Abdellaoui, Abdel, Koval, Vyacheslav, Thung, Djie Tjwan, Wardenaar, René, Renkens, Ivo, Coe, Bradley P., Deelen, Patrick, De Ligt, Joep, Lameijer, Eric Wubbo, Van Dijk, Freerk, Hormozdiari, Fereydoun, Uitterlinden, André G., Van Duijn, Cornelia M., Eichler, Evan E., De Bakker, Paul I.W., Swertz, Morris A., Wijmenga, Cisca, Van Ommen, Gert Jan B, Slagboom, P. Eline, Boomsma, Dorret I., Schönhuth, Alexander, Ye, Kai, Guryev, Victor, Bovenberg, Jasper A., De Craen, Anton J M, Beekman, Marian, Hofman, Albert, Willemsen, Gonneke, Wolffenbuttel, Bruce, Platteel, Mathieu, Du, Yuanping, Chen, Ruoyan, Cao, Hongzhi, Cao, Rui, Sun, Yushen, Cao, Jeremy Sujie, Neerincx, Pieter B T, Dijkstra, Martijn, Byelas, George, Kanterakis, Alexandros, Bot, Jan, Vermaat, Martijn, Laros, Jeroen F., den Dunnen, Johan T., De Knijff, Peter, Karssen, Lennart C., Van Leeuwen, Elisa M., Amin, Najaf, Rivadeneira, Fernando, Estrada, Karol, Hottenga, Jouke-Jan, Kattenberg, V. Mathijs, Van Enckevort, David, Mei, Hailiang, Santcroos, Mark, Van Schaik, Barbera D C, Handsaker, Robert E., McCarroll, Steven A., Ko, Arthur, Sudmant, Peter, Nijman, Isaac J., Hehir-Kwa, Jayne Y., Marschall, Tobias, Kloosterman, Wigard P., Francioli, Laurent C., Baaijens, Jasmijn A., Dijkstra, Louis J., Abdellaoui, Abdel, Koval, Vyacheslav, Thung, Djie Tjwan, Wardenaar, René, Renkens, Ivo, Coe, Bradley P., Deelen, Patrick, De Ligt, Joep, Lameijer, Eric Wubbo, Van Dijk, Freerk, Hormozdiari, Fereydoun, Uitterlinden, André G., Van Duijn, Cornelia M., Eichler, Evan E., De Bakker, Paul I.W., Swertz, Morris A., Wijmenga, Cisca, Van Ommen, Gert Jan B, Slagboom, P. Eline, Boomsma, Dorret I., Schönhuth, Alexander, Ye, Kai, Guryev, Victor, Bovenberg, Jasper A., De Craen, Anton J M, Beekman, Marian, Hofman, Albert, Willemsen, Gonneke, Wolffenbuttel, Bruce, Platteel, Mathieu, Du, Yuanping, Chen, Ruoyan, Cao, Hongzhi, Cao, Rui, Sun, Yushen, Cao, Jeremy Sujie, Neerincx, Pieter B T, Dijkstra, Martijn, Byelas, George, Kanterakis, Alexandros, Bot, Jan, Vermaat, Martijn, Laros, Jeroen F., den Dunnen, Johan T., De Knijff, Peter, Karssen, Lennart C., Van Leeuwen, Elisa M., Amin, Najaf, Rivadeneira, Fernando, Estrada, Karol, Hottenga, Jouke-Jan, Kattenberg, V. Mathijs, Van Enckevort, David, Mei, Hailiang, Santcroos, Mark, Van Schaik, Barbera D C, Handsaker, Robert E., McCarroll, Steven A., Ko, Arthur, Sudmant, Peter, and Nijman, Isaac J.

Published
2016

99. A high-quality human reference panel reveals the complexity and distribution of genomic structural variants

Author

Genetica, CMM Groep Kloosterman, Child Health, Cancer, CMM Groep Kaaij, CMM Groep Cuppen, CMM Groep De Ridder, Epi Methoden Team 2, Infection & Immunity, Circulatory Health, Hubrecht Institute with UMC, Genetica Medische Informatica, Genetica Sectie Genoomdiagnostiek, Hehir-Kwa, Jayne Y., Marschall, Tobias, Kloosterman, Wigard P., Francioli, Laurent C., Baaijens, Jasmijn A., Dijkstra, Louis J., Abdellaoui, Abdel, Koval, Vyacheslav, Thung, Djie Tjwan, Wardenaar, René, Renkens, Ivo, Coe, Bradley P., Deelen, Patrick, De Ligt, Joep, Lameijer, Eric Wubbo, Van Dijk, Freerk, Hormozdiari, Fereydoun, Uitterlinden, André G., Van Duijn, Cornelia M., Eichler, Evan E., De Bakker, Paul I.W., Swertz, Morris A., Wijmenga, Cisca, Van Ommen, Gert Jan B, Slagboom, P. Eline, Boomsma, Dorret I., Schönhuth, Alexander, Ye, Kai, Guryev, Victor, Bovenberg, Jasper A., De Craen, Anton J M, Beekman, Marian, Hofman, Albert, Willemsen, Gonneke, Wolffenbuttel, Bruce, Platteel, Mathieu, Du, Yuanping, Chen, Ruoyan, Cao, Hongzhi, Cao, Rui, Sun, Yushen, Cao, Jeremy Sujie, Neerincx, Pieter B T, Dijkstra, Martijn, Byelas, George, Kanterakis, Alexandros, Bot, Jan, Vermaat, Martijn, Laros, Jeroen F., den Dunnen, Johan T., De Knijff, Peter, Karssen, Lennart C., Van Leeuwen, Elisa M., Amin, Najaf, Rivadeneira, Fernando, Estrada, Karol, Hottenga, Jouke-Jan, Kattenberg, V. Mathijs, Van Enckevort, David, Mei, Hailiang, Santcroos, Mark, Van Schaik, Barbera D C, Handsaker, Robert E., McCarroll, Steven A., Ko, Arthur, Sudmant, Peter, Nijman, Isaac J., Genetica, CMM Groep Kloosterman, Child Health, Cancer, CMM Groep Kaaij, CMM Groep Cuppen, CMM Groep De Ridder, Epi Methoden Team 2, Infection & Immunity, Circulatory Health, Hubrecht Institute with UMC, Genetica Medische Informatica, Genetica Sectie Genoomdiagnostiek, Hehir-Kwa, Jayne Y., Marschall, Tobias, Kloosterman, Wigard P., Francioli, Laurent C., Baaijens, Jasmijn A., Dijkstra, Louis J., Abdellaoui, Abdel, Koval, Vyacheslav, Thung, Djie Tjwan, Wardenaar, René, Renkens, Ivo, Coe, Bradley P., Deelen, Patrick, De Ligt, Joep, Lameijer, Eric Wubbo, Van Dijk, Freerk, Hormozdiari, Fereydoun, Uitterlinden, André G., Van Duijn, Cornelia M., Eichler, Evan E., De Bakker, Paul I.W., Swertz, Morris A., Wijmenga, Cisca, Van Ommen, Gert Jan B, Slagboom, P. Eline, Boomsma, Dorret I., Schönhuth, Alexander, Ye, Kai, Guryev, Victor, Bovenberg, Jasper A., De Craen, Anton J M, Beekman, Marian, Hofman, Albert, Willemsen, Gonneke, Wolffenbuttel, Bruce, Platteel, Mathieu, Du, Yuanping, Chen, Ruoyan, Cao, Hongzhi, Cao, Rui, Sun, Yushen, Cao, Jeremy Sujie, Neerincx, Pieter B T, Dijkstra, Martijn, Byelas, George, Kanterakis, Alexandros, Bot, Jan, Vermaat, Martijn, Laros, Jeroen F., den Dunnen, Johan T., De Knijff, Peter, Karssen, Lennart C., Van Leeuwen, Elisa M., Amin, Najaf, Rivadeneira, Fernando, Estrada, Karol, Hottenga, Jouke-Jan, Kattenberg, V. Mathijs, Van Enckevort, David, Mei, Hailiang, Santcroos, Mark, Van Schaik, Barbera D C, Handsaker, Robert E., McCarroll, Steven A., Ko, Arthur, Sudmant, Peter, and Nijman, Isaac J.

Published
2016

100. Transmission of human mtDNA heteroplasmy in the genome of the Netherlands families: Support for a variable-size bottleneck

Author

Epidemiology & Health Economics, CMM Groep Kaaij, Brain, Infection & Immunity, Circulatory Health, JC onderzoeksprogramma Methodologie, CMM Groep Cuppen, Cancer, CMM Groep Kloosterman, Child Health, Genetica Medische Informatica, Genetica Sectie Genoomdiagnostiek, Li, Mingkun, Rothwell, Rebecca, Vermaat, Martijn, Wachsmuth, Manja, Schröder, Roland, Laros, Jeroen F J, Van Oven, Mannis, De Bakker, Paul I W, Bovenberg, Jasper A., Van Duijn, Cornelia M., Van Ommen, Gert Jan B, Slagboom, P. Eline, Swertz, Morris A., Wijmenga, Cisca, Kayser, Manfred, Boomsma, Dorret I., Zöllner, Sebastian, De Knijff, Peter, Stoneking, Mark, De Craen, Anton J M, Beekman, Marian, Hofman, Albert, Willemsen, Gonneke, Wolffenbuttel, Bruce, Platteel, Mathieu, Du, Yuanping, Chen, Ruoyan, Cao, Hongzhi, Cao, Rui, Sun, Yushen, Cao, Jeremy Sujie, Van Dijk, Freerk, Neerincx, Pieter B T, Deelen, Patrick, Dijkstra, Martijn, Byelas, George, Kanterakis, Alexandros, Bot, Jan, Ye, Kai, Lameijer, Eric Wubbo, Den Dunnen, Johan T., Karssen, Lennart C., Van Leeuwen, Elisa M., Amin, Najaf, Koval, Vyacheslav, Rivadeneira, Fernando, Estrada, Karol, Hehir-Kwa, Jayne Y., De Ligt, Joep, Abdellaoui, Abdel, Hottenga, Jouke Jan, Kattenberg, V. Mathijs, Van Enckevort, David, Mei, Hailiang, Santcroos, Mark, Van Schaik, Barbera D C, Handsaker, Robert E., McCarroll, Steven A., Eichler, Evan E., Ko, Arthur, Sudmant, Peter, Francioli, Laurent C., Kloosterman, Wigard P., Nijman, Isaac J., Guryev, Victor, Epidemiology & Health Economics, CMM Groep Kaaij, Brain, Infection & Immunity, Circulatory Health, JC onderzoeksprogramma Methodologie, CMM Groep Cuppen, Cancer, CMM Groep Kloosterman, Child Health, Genetica Medische Informatica, Genetica Sectie Genoomdiagnostiek, Li, Mingkun, Rothwell, Rebecca, Vermaat, Martijn, Wachsmuth, Manja, Schröder, Roland, Laros, Jeroen F J, Van Oven, Mannis, De Bakker, Paul I W, Bovenberg, Jasper A., Van Duijn, Cornelia M., Van Ommen, Gert Jan B, Slagboom, P. Eline, Swertz, Morris A., Wijmenga, Cisca, Kayser, Manfred, Boomsma, Dorret I., Zöllner, Sebastian, De Knijff, Peter, Stoneking, Mark, De Craen, Anton J M, Beekman, Marian, Hofman, Albert, Willemsen, Gonneke, Wolffenbuttel, Bruce, Platteel, Mathieu, Du, Yuanping, Chen, Ruoyan, Cao, Hongzhi, Cao, Rui, Sun, Yushen, Cao, Jeremy Sujie, Van Dijk, Freerk, Neerincx, Pieter B T, Deelen, Patrick, Dijkstra, Martijn, Byelas, George, Kanterakis, Alexandros, Bot, Jan, Ye, Kai, Lameijer, Eric Wubbo, Den Dunnen, Johan T., Karssen, Lennart C., Van Leeuwen, Elisa M., Amin, Najaf, Koval, Vyacheslav, Rivadeneira, Fernando, Estrada, Karol, Hehir-Kwa, Jayne Y., De Ligt, Joep, Abdellaoui, Abdel, Hottenga, Jouke Jan, Kattenberg, V. Mathijs, Van Enckevort, David, Mei, Hailiang, Santcroos, Mark, Van Schaik, Barbera D C, Handsaker, Robert E., McCarroll, Steven A., Eichler, Evan E., Ko, Arthur, Sudmant, Peter, Francioli, Laurent C., Kloosterman, Wigard P., Nijman, Isaac J., and Guryev, Victor

Published
2016

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